9 research outputs found

    An evaluation of semantic fisheye views for opportunistic search in an annotated image collection

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    Visual interfaces are potentially powerful tools for users to explore a representation of a collection and opportunistically discover information that will guide them toward relevant documents. Semantic fisheye views (SFEVs) are focus + context visualization techniques that manage visual complexity by selectively emphasizing and increasing the detail of information related to the user's focus and deemphasizing or filtering less important information. In this paper we describe a prototype for visualizing an annotated image collection and an experiment to compare the effectiveness of two distinctly different SFEVs for a complex opportunistic search task. The first SFEV calculates relevance based on keyword-content similarity and the second based on conceptual relationships between images derived using WordNet. The results of the experiment suggest that semantic-guided search is significantly more effective than similarity-guided search for discovering and using domain knowledge in a collectio

    Concept expansion using semantic fisheye views

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    Exploratory search over a collection often requires users to iteratively apply a variety of strategies, such as searching for more general or more specific concepts in reaction to the information they encounter. Rich semantic models, such as WordNet, are potentially valuable aids for making sense of this information. However, these large complex models often contain specialized vocabularies and a detailed level of granularity that makes them difficult to use for opportunistic search. In this paper, we describe how Semantic Fisheye Views (SFEV) can be designed to transparently integrate rich semantic models into the search process, allowing users to effectively explore a diverse range of related concepts without explicitly navigating over the underlying model. The SFEV combines semantic guided search with interactive visualization techniques, creating a search tool that we have found to be significantly more effective for exploratory tasks than those based on keyword-similarity alone. © Springer-Verlag Berlin Heidelberg 2005

    Análisis de co-términos y de redes sociales para la generación de mapas temáticos de la colección

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    La mejora de las capacidades de búsqueda y de las interfaces de los OPACs sigue siendo uno de los principales desafíos para las bibliotecas, especialmente en lo que respecta al acceso por materias. Las interfaces visuales pueden ser una alternativa para facilitar la recuperación. El objetivo del presente trabajo es explorar si la combinación de técnicas de análisis de co-términos y de redes sociales resulta ser una metodología válida para la generación de mapas temáticos de la colección. La principal conclusión es que el método es válido, y que los mapas obtenidos podrían servir tanto como una alternativa de interfaz visual para el acceso por materias, como también para detectar problemas en los criterios de indización, y contribuir a la mejora de la calidad de la descripción temática del conjunto documental.Ponencia presentada en la mesa 29: Sociedad, información, bibliotecas y profesionales. Desafíos actuales. Jornadas realizadas junto con el I Encuentro Latinoamericano de Metodología de las Ciencias Sociales.Facultad de Humanidades y Ciencias de la Educació

    Supporting Exploratory Web Search With Meaningful and Stable Categorized Overviews

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    This dissertation investigates the use of categorized overviews of web search results, based on meaningful and stable categories, to support exploratory search. When searching in digital libraries and on the Web, users are challenged by the lack of effective overviews. Adding categorized overviews to search results can provide substantial benefits when searchers need to explore, understand, and assess their results. When information needs are evolving or imprecise, categorized overviews can stimulate relevant ideas, provoke illuminating questions, and guide searchers to useful information they might not otherwise find. When searchers need to gather information from multiple perspectives or sources, categorized overviews can make those aspects visible for interactive filtering and exploration. However, they add visual complexity to the interface and increase the number of tactical decisions to be made while examining search results. Two formative studies (N=18 and N=12) investigated how searchers use categorized overviews in the domain of U.S. government web search. A third study (N=24) evaluated categorized overviews of general web search results based on thematic, geographic, and government categories. Participants conducted four exploratory searches during a two hour session to generate ideas for newspaper articles about specified topics. Results confirmed positive findings from the formative studies, showing that subjects explored deeper while feeling more organized and satisfied, but did not find objective differences in the outcomes of the search task. Results indicated that searchers use categorized overviews based on thematic, geographic, and organizational categories to guide the next steps in their searches. This dissertation identifies lightweight search actions and tactics made possible by adding a categorized overview to a list of web search results. It describes a design space for categorized overviews of search results, and presents a novel application of the brushing and linking technique to enrich search result interfaces with lightweight interactions. It proposes a set of principles, refined by the studies, for the design of exploratory search interfaces, including "Organize overviews around meaningful categories," "Clarify and visualize category structure," and "Tightly couple category labels to search result list." These contributions will be useful to web search researchers and designers, information architects and web developers

    Understanding and conceptualising the document triage process through information seekers' visual and navigational attention

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    Information is a valuable commodity and its effective use is a vital part of everyday life. With the advancements of the internet and the increasing accessibility to it, the location of information is no longer the primary concern of information seekers. Digitisation techniques have made a wide variety of documents available on-line, and more and more publications are being published in electronic form simultaneously to their physical counterpart. The largest challenge currently facing information seekers is that of locating the correct information from the abundance available to them. Whenever a search query is made, the user is inundated with multiple options of documents to choose from. These documents are all deemed to have some relevance to the query produced by using an information retrieval algorithm. Thus far, automatic support has only been provided until the document retrieval level. The user is then left to search through the result set, mostly unaided, by the system he is using. In order to facilitate support for the users, a solid understanding of the information seeker's behaviours during this triage process is vital. Thus far, research into the behaviour of information seekers during the specific triage behaviour is limited. Even more limited however, is the evidence reporting the visual attention of the users. Since the triage process is highly visual, this important element needs to be thoroughly evidenced before accurately conceptualising the entire process. For this reason, this thesis aims to investigate the visual attention of information seekers during the document triage process. This will inform the modelling and conceptualisation of information seekers' behaviour during triage. In turn, this can be used to inform the design of supportive software. The thesis contains a review of related research and identifies the gaps that needs further investigation. From these, a series of user studies are then conducted on document triage. These in turn, facilitate the formulation and discussion of 2 document triage models and measurements to record the effectiveness of document triage. We study the visual attention of information seekers in four lab based studies, eliciting their exact gaze and focus details. We expand current research in the information seeking domain by reporting on findings from users' triage activities on small screen devices and when under time constraints. Furthermore, a high level diary study, gives us richer data on participants' triage activities over a larger period of time in their natural surroundings. All the studies are brought together to elicit requirements and measurements to understand system and user efficiency during each stage of the triage process.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

    International Journal on Digital Libraries manuscript No. (will be inserted by the editor) An Evaluation of Semantic Fisheye Views for Opportunistic Search in an Annotated Image Collection

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    Abstract. Visual interfaces are potentially powerful tools for users to explore a representation of a collection and opportunistically discover information that will guide them towards relevant documents. Semantic fisheye views (SFEVs) are focus + context visualization techniques that manage visual complexity by selectively emphasizing and increasing the detail of information related to the user’s focus and de-emphasizing or filtering less important information. In this paper we describe a prototype for visualizing an annotated image collection and an experiment to compare the effectiveness of two distinctly different SFEVs for a complex opportunistic search task. The first SFEV calculates relevance based on keyword-content similarity, and the second based on conceptual relationships between images derived using WordNet. The results of the experiment suggest that semantic-guided search is significantly more effective than similarity-guided search for discovering and using domain knowledge in a collection.
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